Luis Raul Sanchez Fernandez is a Full Professor at Universidad Carlos III de Madrid, serving as Director of the Master's Degree in Plasma Physics and Nuclear Fusion. His research focuses on plasma turbulence, magnetohydrodynamics (MHD), and advanced confinement regimes in fusion devices. Key areas include I-mode transport control, Alfven eigenmode dynamics, and numerical methods for plasma equilibrium. His work integrates computational tools like SIESTA and FLIPEC for solving MHD equilibria and stability problems. Recent studies explore non-diffusive transport, magnetic island effects, and cross-phase modification for enhanced plasma confinement. He has contributed to ITER-related pedestal transport analysis and tungsten impurity studies. Publications emphasize fusion energy applications, plasma edge physics, and turbulence modeling. His team addresses challenges in stellarators and tokamaks, with a focus on self-organized criticality and transport barrier formation. Ongoing projects include developing efficient numerical algorithms and advancing control mechanisms for burning plasmas.
David Ariza Ruiz is an Assistant Professor in the Department of Mathematical Analysis at the University of Seville. He earned his PhD in 2013 with a thesis on fixed point theorems for weakly contractive and firmly nonexpansive mappings. His research is centered on nonlinear functional analysis, operator theory, and metric fixed point theory, particularly in geodesic and Banach spaces. PhD, University of Seville, 2013 His research interests include Operator Theory , Fixed Point Theory , Nonlinear Functional Analysis , Geodesic Spaces , Variational Inequalities , and Nonexpansive Mappings . He has made significant contributions to the study of firmly nonexpansive mappings, Chebyshev sets, and contractive-type conditions in abstract spaces. His work often bridges pure analysis with applications in optimization and differential equations. His 15 most recent publications reveal a consistent focus on fixed point theory, nonexpansive mappings, and variational problems in metric and Banach spaces. Key themes include the asymptotic behavior of iterative processes, existence principles in infinite dimensions, and geometric properties in geodesic spaces. These works are published in specialized journals such as Fixed Point Theory , Journal of Nonlinear and Convex Analysis , and Transactions of the American Mathematical Society , indicating strong recognition in the mathematical community. He has not received any scientific awards mentioned in the provided texts. David Ariza Ruiz has collaborated with several leading mathematicians, including Genaro López Acedo, Jesús Garcia-Falset, and Antonio Jiménez-Melado. His work has been cited over 200 times, reflecting its impact in the field. He has not published any grants or funding details in the provided sources. He is involved in research on geodesic spaces, fixed point algorithms, and nonlinear operators, often working within theoretical frameworks that extend classical results to more abstract metric settings.
Manuel Bataller Mompean is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. His academic work is centered on electronics and digital systems, with a focus on digital signal processing and design. His research interests include: Electronics Digital Signal Processing Biomedical Signal Processing Digital Design Computer Science Linear Algebra His recent publication in IEEE Transactions on Computers (2020) on optimization methods indicates interdisciplinary research at the intersection of computer science and applied mathematics. The work involves variational inequality problems and Bregman distance, highlighting his engagement with advanced computational techniques. He is affiliated with the GPDD (Group for Digital Design and Processing), contributing to collaborative research in digital systems. His doctoral research, completed in 1991, focused on PC-based biomedical signal acquisition and processing, supervised by Dr. José Espí López. Manuel Bataller has collaborated with researchers including José Vicente Francés Víllora, Taras Iakymchuk, Emmanuel Ovie Osimiry, and Alfredo Rosado-Muñoz. No scientific awards, grants, or student advisement details are mentioned in the available sources.
RODRIGO LOPEZ POUSO is a Professor at the University of Santiago de Compostela , affiliated with the Department of Statistics, Mathematical Analysis and Optimization within the Faculty of Mathematics . He holds a Doctorate from the same institution (1999), focusing on boundary problems for discontinuous ordinary differential equations under the supervision of Dr. Alberto Cabada and Dr. Eduardo Liz. His research primarily revolves around nonlinear differential equations, mathematical analysis, and their applications in dynamical systems and functional analysis. He has authored 88 publications and 5 arXiv preprints, with notable contributions to Stieltjes differential equations, existence and uniqueness theorems for ODEs, and fixed point theory. His work often addresses discontinuous systems and the application of topological methods. Key collaborations include researchers such as Alberto Cabada, José Ángel Cid, and Ignacio Márquez Albés, with 26 co-authors total. His research interests span ordinary and partial differential equations, operator theory, and mathematical biology. Notable results include contributions to discontinuous differential systems, generalized differential equations, and the unification of continuous and impulsive calculus through Stieltjes derivatives. His recent work (2020–2025) focuses on extremal solutions, Fourier series for nonperiodic functions, and Peano’s existence theorem revisited.
Maria Victoria Otero Espinar is a full Professor of Mathematical Analysis at the University of Santiago de Compostela (USC), Spain. She holds a PhD in Mathematics from USC (1992), focusing on Discrete Dynamic Systems under supervision by Charles Tresser and Fernando Costal. She is affiliated with the Department of Statistics, Mathematical Analysis and Optimization within the Faculty of Mathematics and the Galician Mathematical Research and Technology Center (CITMAga). Her research primarily spans Differential Equations, Dynamic Systems, and Biomathematics with notable contributions to nonlinear dynamics and mathematical modeling in ecological and biological contexts. Prof. Otero Espinar has held visiting positions at IBM Research (1989) and institutions like the University of Nice, Cambridge’s King’s College, and Warwick. She actively engages in scientific dissemination, leadership roles (e.g., RSME President), and educational administration at USC. Her academic contributions include over 45 peer-reviewed articles, with impactful work on Sobolev spaces on time scales, predator-prey models, and bifurcation theory. Her editorial roles in journals and committee memberships highlight her influence in academic governance. Despite her prolific career, no specific scientific awards are explicitly mentioned in the texts, though her leadership roles reflect professional recognition.
Jesús Cardenal Carro is a Professor in the Department of Applied Mathematics at the Ferrol Engineering Polytechnic University College, part of the University of A Coruña (UDC). He teaches a wide range of courses across engineering disciplines, including Numerical Methods, Differential Equations, Linear Algebra, and specialized topics in mobility and industrial design. He is actively engaged in research through the Observatorio para el diseño e innovación en movilidad, medios de transporte y automoción, contributing to both academic and applied engineering projects. His research interests span Applied Mathematics , Computational Mechanics , Multibody System Dynamics , and Automotive and Mobility Engineering . He focuses on numerical methods, inertial data filtering, vehicle dynamics, and the development of test benches for simulating mechanical motion. His work bridges theoretical mathematics with practical engineering applications in automotive and industrial systems. The recent articles highlight a strong trend in applied computational mechanics, particularly in vehicle dynamics, numerical simulation, and sensor data processing. Many publications focus on the development and validation of algorithms for orientation estimation from inertial sensors, simulation of mechanical systems, and practical engineering solutions such as vehicle conversions and test bench design. Collaborations with researchers like Javier Cuadrado and Eduardo Bayo Pérez are frequent and long-standing. No scientific awards were explicitly mentioned in the provided text. Jesús Cardenal Carro has directed multiple final degree and master’s theses in Industrial Engineering, including those of José Augusto Antón Nacimiento and Alvaro Deibe Díaz. He has participated in numerous research projects funded by national programs such as the Programa Nacional de Investigación del Transporte, the Secretaria Xeral de Investigación e Desenvolvemento Tecnolóxico, and international entities like the U.S. Army Research Office. These projects span areas of multibody dynamics, vehicle systems, and applied mechanics. He is affiliated with the research group Observatorio para el diseño e innovación en movilidad, medios de transporte y automoción, which focuses on innovation in transportation and automotive design. His work involves close collaboration with industry partners such as NAVANTIA and LABORATORIO OFICIAL DE VEHÍCULOS HISTÓRICOS, as well as academic networks including the Asociación Española de Ingeniería Mecánica (AEIM) and IFToMM.
Gisela Pujol Vazquez is a Professor in the Department of Mathematics at the Escola Superior d'Enginyeries Industrial, Aeroespacial i Audiovisual de Terrassa (ESEIAAT), Universitat Politècnica de Catalunya (UPC). She is an active member of the CoDAlab research group, focusing on Control, Data, and Artificial Intelligence. Her academic background includes a Licentiate and a PhD in Mathematics, both with excellent standing. Professional Category: Professor agregat/professora agregada Research Group: CoDAlab - Control, Dades i Intel·ligència Artificial Email: gisela.pujol@upc.edu ORCID: 0000-0003-0067-2571 Her research interests span Robust Control, Applied Mathematics, Control Systems in Engineering, and Control Theory, with strong applications in mechanical systems, vibration control, and biomedical engineering. She has made significant contributions to nonlinear control, fault detection in wind turbines, and control algorithms for chaotic and hysteretic systems. Her recent work integrates control theory with real-world applications in energy, health, and civil engineering. The analysis of her recent publications reveals a consistent focus on advanced control techniques such as finite-time control, boundary control, LPV methods, and iterative learning, applied to diverse systems including wind turbines, magnetic levitation, glucose-insulin regulation, and civil structures. Her work bridges theoretical developments with experimental validation and practical implementation. She has received recognition including the Actuators 2022 Best Paper Award. Her involvement in competitive R&D projects and conference scientific committees underscores her active role in the academic community. Gisela Pujol Vazquez has contributed to educational innovation in applied mathematics, participating in multiple teaching projects and publications on the use of new technologies in engineering education. She collaborates extensively with researchers such as Leonardo Acho, Francesc Pozo, and Josep Rodellar, indicating a strong network in control systems research. She is involved in the CoDAlab research laboratory, which focuses on control, data, and artificial intelligence, contributing to both theoretical and applied research in dynamic systems and control engineering.
Francisco Fernández Rivera is a Full Professor in the Department of Computer Architecture at the University of Santiago de Compostela (Spain), where he obtained both his BS (1986) and PhD (1990). His academic career spans parallel processing, computer architecture, and high-performance computing applications. He has supervised 7 PhD theses and authored over 150 publications, including 60+ journal articles and 90+ conference papers. Research Focus: His work centers on parallel/distributed system optimization, including compilation of irregular codes, performance prediction, sparse matrix algebra, GIS, and memory hierarchy improvements. Key applications include LiDAR data processing for infrastructure analysis, NUMA system optimization, and heterogeneous computing. Publication Trends: Recent works (2021-2024) emphasize LiDAR-based geospatial analysis, thread/memory optimization for NUMA systems, and heterogeneous computing frameworks (e.g., Intel OneAPI). Methodologies feature parallel algorithms, hardware-aware optimizations, and real-world applications in urban planning and remote sensing. Projects & Leadership: Principal investigator for 8 research projects (e.g., HiPerHC2DA, SDNHPC) focused on high-performance and cloud computing. Manages collaborations in geospatial technologies and parallel systems.
Pablo Acebal Gonzalez serves as an Associate Professor in the Department of Materials Science, Optics and Electronic Technology at Miguel Hernández University of Elche. He teaches core courses including Electromagnetic Waves and Photonics (where he acts as course coordinator) for the Bachelor's in Telecommunications Technology Engineering program, with tutorial sessions held Monday-Wednesday 10:00-12:30. He directs the "Photonics for Biomedical applications" research group, driving interdisciplinary work at the optics-biomedicine interface. His research spans theoretical and experimental photonics with strong biomedical relevance. Key focus areas include: Structured light manipulation (Airy-Gauss bullets, electromagnetic pulses) Chiral light-matter interactions (spin-orbital angular momentum conversion) Bacteriorhodopsin-based optical materials Nanoparticle trapping dynamics Biomedical photonics applications (antimicrobial strategies, cancer immunology) Analysis of his 15 most recent publications (2019-2025) reveals a cohesive trajectory from fundamental optical phenomena toward biomedical solutions. Early work established foundations in photonic crystal modeling and diffraction theory, while recent studies increasingly integrate clinical applications—particularly in antimicrobial strategies for urinary tract infections and immunological cancer markers—demonstrating successful translation of optical physics into medical contexts. As director of the "Photonics for Biomedical applications" research group, he leads experimental and theoretical efforts in optical trapping systems, chiral discrimination technologies, and novel photonic materials development. His team operates within the university's Torrevaillo building facilities, leveraging specialized equipment for nanophotonic characterization and biomedical optics research.
Yong Kiam Tan is a researcher affiliated with the Institute for Infocomm Research at A*STAR. He actively contributes to academic communities through roles such as Program Committee member for CPP 2024 and committee member for the ML Family Workshop 2025. His research focuses on formal verification and programming languages , particularly in bridging automated reasoning with proof-checking systems. Recent work explores iterative refinement in theorem proving and enhancing trustworthiness in software verification frameworks. Conference contributions include papers on CakeML-based automated reasoning (2023) and bidirectional proof-checking integration (2025), reflecting interests in logic in computer science and trustworthy systems . No scientific awards or student advising details are available in the provided data.
Jesús Alpuente Hermosilla is an Associate Professor at the University of Alcalá, affiliated with the Department of Signal Theory and Communications and the Radiation and Sensing Group (RSG). His primary research focuses on signal processing, microwave engineering, and bioinspired systems. He holds a PhD in Engineering from the University of Alcalá (2014), with a thesis on automatic wood species classification using image analysis techniques. His research interests include non-destructive analysis of materials, fractal filtering for medical imaging enhancement, and antenna design for wireless communication systems. He has contributed to studies on microwave focusing effects in wood structures, long-term electromagnetic field exposure measurements, and bioinspired echolocation-based spectral techniques. His publications span topics from acoustic sensing algorithms to practical microwave engineering applications, reflecting a balance between theoretical innovation and applied engineering solutions. He has collaborated on projects involving automated production control systems and educational tools for electromagnetic network design. No specific scientific awards or grants are mentioned in the provided data. His advising role is not explicitly detailed, though his doctoral work demonstrates supervisory experience. He is actively involved in the Radiation and Sensing Group, contributing to interdisciplinary research at the intersection of signal theory and material characterization.
Manuel Felipe Cátedra Pérez is a Professor at the Universidad Politécnica de Madrid's Department of Computer Science, specializing in Computational Electromagnetics. He is part of the GEC (Computational Electromagnetic Group) research team. His doctoral thesis from 1982 focused on electromagnetic coupling between linear antennas in near fields and conductive environments, supervised by Dr. Miguel Calvo Ramón. Research interests include antenna design, radar systems, numerical electromagnetics, and high-frequency techniques. He has extensively published on methods like the Method of Moments (MoM), Multilevel Fast Multipole Algorithm (MLFMA), and Characteristic Basis Function Method (CBFM), with applications in reflectarray antennas, radome analysis, and electromagnetic scattering. Publications emphasize computational efficiency in solving large-scale electromagnetic problems, including hybrid techniques combining MLFMA and Geometrical Theory of Diffraction (GTD). Recent work involves accelerating ray-tracing and optimizing preconditioners for iterative solvers. No scientific awards are explicitly listed, but his contributions to Altair Feko software development highlight industry impact. Advising and grants are not detailed in the provided text, though his research group's activities suggest involvement in collaborative projects.
Iván González Diego is an Associate Professor at the University of Alcalá's Department of Computer Science, affiliated with the GEC Grupo de Electromagnetismo Computacional (Computational Electromagnetic Group) . He holds a Ph.D. from the University of Alcalá (2004) for his thesis on improving the Geometrical Theory of Diffraction (GTD) for complex radiative systems. His work focuses on computational electromagnetics, antenna design, and advanced numerical techniques such as the Method of Moments (MoM), Multilevel Fast Multipole Method (MLFMM), and hybrid approaches combining asymptotic and rigorous methods. Key research areas include electromagnetic scattering analysis of large structures, reflectarray antenna design, and optimization of radio frequency systems using evolutionary algorithms. He has developed tools like NEWFASANT and MONURBS for electromagnetic simulations and pre-processing. His contributions span radar systems, V2X communication channels, and antenna-radome interaction studies. Publications highlight advancements in accelerating ray-tracing, improving preconditioners for iterative solvers, and analyzing wind turbines' electromagnetic interference. Notably, his work on multi-beam reflectarray antennas and efficient mesh generation techniques has been widely applied in aerospace and satellite communication contexts.
Rubén Campoy García is a faculty member in the Department of Statistics and Operations Research at Universidad de Murcia, holding the academic rank of Assistant Professor. He completed his PhD in 2018 with a dissertation on projection algorithms, supervised by Dr. Francisco J. Aragón Artacho. His research is centered on optimization algorithms, particularly projection and splitting methods with applications in feasibility problems and combinatorial design. Doctorate: Universidad de Murcia, 2018 His research interests include operations research, numerical analysis, operator theory, convex and nonconvex optimization, and combinatorial optimization. He specializes in the development and analysis of algorithms such as the Douglas-Rachford method, alternating direction method of multipliers (ADMM), and resolvent computation techniques. His work bridges theoretical foundations with practical applications in signal processing and discrete optimization. The trends in his publications show a consistent focus on iterative methods for solving feasibility and optimization problems. He frequently collaborates with leading researchers in the field, contributing to advancements in nonconvex optimization, convergence analysis, and algorithmic efficiency. His work appears in top-tier journals such as Journal of Optimization Theory and Applications and Computational Optimization and Applications . No scientific awards are listed in the available sources. Rubén Campoy García has co-authored multiple publications with prominent researchers including Francisco J. Aragón Artacho, Matthew K. Tam, and Hung M. Phan. While no formal advisees or grant information is provided, his collaborative network indicates active engagement in research teams and academic projects. He is not associated with a specific lab, but his work aligns with research groups focused on optimization and applied functional analysis.
Ivan Gimenez Palacios is an academic researcher and Assistant Professor at the Faculty of Mathematics, University of Valencia, where he works in the Department of Statistics and Operations Research. He is a member of the OPTIMATH research group focused on Optimization and Mathematical Modeling. He completed his PhD in 2022 at the Universidad de Castilla-La Mancha. Research Interests: His work centers on solving real-world logistics and distribution problems using mathematical optimization and heuristic algorithms. His research spans operations research, combinatorial optimization, packing problems, and the development of efficient computational methods for complex systems. He applies mathematical modeling to improve efficiency in supply chain and distribution networks. The recent publications indicate a strong focus on algorithmic design and analysis, particularly in optimization and numerical methods for nonlinear systems. His thesis and early research demonstrate a blend of theoretical rigor and practical application in industrial logistics. Scientific Contributions: Developed heuristic algorithms for packing and distribution logistics. Contributed to the stability and efficiency analysis of iterative numerical methods. Advising and Collaboration: He was supervised during his PhD by Dr. Francisco Parreño Torres, Dr. Ramón Álvarez Valdés Olaguíbel, and Dr. María Teresa Alonso Martínez. He has collaborated with researchers such as Cordero and Torregrosa on numerical methods. Currently, there is no public list of students he has advised. Labs and Research Groups: He is actively involved in the OPTIMATH (Optimization and Mathematical Modelling) research group at the University of Valencia, which focuses on developing advanced mathematical tools for engineering, logistics, and industrial applications.
